Baidu テーマ別地図アプリケーション by Ying Li, Yongzhi Ji, Meng Xu and Yang Zhang is a highly esteemed winner of the very prestigious 2022 A' Design Award 銅賞 in インターフェース・インタラクション・UXデザイン Competition Category.
銅インターフェース· 2022
Baidu テーマ別地図アプリケーション
by Ying Li, Yongzhi Ji, Meng Xu and Yang Zhang
Client: Baidu Online Network Technology (Beijing) Co., Ltd
A' Design Award 銅賞 Winner in インターフェース Category
Verified Award Winner
Verify Award Status for #137095The Design
About Baidu テーマ別地図アプリケーション
Baidu Thematic Mapは、AndroidおよびiOSスマートフォン向けのモバイル地図アプリケーションです。本アプリは、時間・空間・ユーザープロファイルに基づき、さまざまなユーザー層に合わせて選定された地図情報を表示します。人的要因、地理的要因、社会的要因を組み合わせて一体的に提示することで、周辺のサービスや現在開催中のイベントを素早く見つけられます。グラフィカルな地図情報は画面上でテキストと統合され、読み取りやすく構成されています。人工知能とビッグデータを活用し、各ユーザー層に応じて表示内容を最適化します。検索の手間を減らし、日々の学習、移動、そして新たな発見を支援することを目指しています。
The Recognition
About the A' Design Award 銅賞
Baidu テーマ別地図アプリケーションは、創造性、独創性、鋭い洞察力で際立つ傑出したデザインに授与される、高い権威をもつ評価である A' Design Award 銅賞の受賞作品です。銅賞の受賞作品は、十分に巧みで印象的なほど創造的な工芸品であり、デザイナーの豊富な経験、想像力、機知を裏づけています。Baidu テーマ別地図アプリケーションは、高く評価され、称賛され、愛される品であり、顕著にプロフェッショナルで革新的であることが期待されます。この A' Design Award 銅賞を受賞したデザインは、芸術・科学・デザイン・技術のベストプラクティスを取り入れており、細部への配慮に優れています。Baidu テーマ別地図アプリケーションは、ニーズを見事に満たし、欲求に触れ、感情を魅了し、好奇心を引きつけます。
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- Being the bridge between people and environment, the map helps the people understand the environment better and provides various services depending on AI technologies. We created thematic maps based on its understanding of dynamic environment, hot social issues and user classification, provides one-stop life services to different groups, and endows users with the exclusive ability of living, traveling and exploration
- Dimensions & Packaging
- The application is designed for all Android and iOS smart phone sizes.
- Tags
- Phone, Map app, GIS, AI, UX, UI
- Production Technology
- Application is available on the market for both iOS and Android users, based on AI & big data capabilities to draw effects that are more suitable for different segments of population
- Design Challenge
- In the increasingly complex living environment, users shoulder more cognitive burden and decision-making cost. The major challenge facing us is how to select the information from the massive environment data that users are really interested in. Therefore, we have developed the personas of users based on big data, and it realized the ability of personalize and intelligently display information services to users.
- Research
- We have collected user demands for the map and searched the exploration direction through questionnaire, user interview and desk study. By means of the questionnaire for and telephone interview with university users, we have studied and determined these users’ demands, concerns and expectations for the map, and found that these users are demanding for more details in local environment.
- Inspiration
- Map information has many complex attributes user groups have various requirements on map based on diverse scenarios, resulting in high target search costs. With highly target-oriented thematic maps, combined with the characteristics and habits of specific user groups and designed according to the understanding of the environment, current affairs and user stratification, we can provide users with more convenient travel services.
- Project Duration
- The project was launched 2021 and the released version was available in September 2021. The software is updated online. The development team are in Beijing.
- Operation Flow
- The thematic map features the light and beautiful visual display, and flexibly integrates the graphical information of the map with text information on the screen. College users can understand the environmental characteristics of a location easily through the image, rapidly acquire information on services and hot events nearby based on interactive operations, and communicate with each other on hot events. This map brings them efficiency, pleasure and convenience in study and life
- Team Members
- YingLi,Yongzhi Ji,Meng Xu,Yang Zhang,Changlong Liu,Linlin Pan
- Image Credits
- Copyrights belong to Baidu Online Network Technology (Beijing) Co., Ltd.2020
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